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	<title>Web Analytics Blog &#187; Joe</title>
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	<link>http://www.blastam.com/blog</link>
	<description>Web Analytics, Internet Marketing, Search Engine Optimization Blog</description>
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		<title>Top 5 Use Cases of Google Analytics Flow Visualization</title>
		<link>http://www.blastam.com/blog/index.php/2011/10/ga-flow-visualization-use-cases/</link>
		<comments>http://www.blastam.com/blog/index.php/2011/10/ga-flow-visualization-use-cases/#comments</comments>
		<pubDate>Wed, 19 Oct 2011 17:39:54 +0000</pubDate>
		<dc:creator>Joe</dc:creator>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Google Analytics]]></category>
		<category><![CDATA[flow visualization]]></category>
		<category><![CDATA[goals]]></category>
		<category><![CDATA[reports]]></category>

		<guid isPermaLink="false">http://www.blastam.com/blog/?p=2250</guid>
		<description><![CDATA[The Google Analytics team has announced an exciting new feature to both Google Analytics Standard and Google Analytics Premium. Flow Visualization is a new set of reports that will change how you visualize pathways throughout your site and as equally exciting, your goal funnels. It helps to answer the question: How do people reach my site and what do they do once they get there? 

The base of this feature is nothing new. SiteCatalyst, Yahoo Web Analytics, WebTrends, and many others have had pathing reports for a while now. Flow Visualization extends beyond traditional pathway analysis reports through the use of imagery and powerful segmentation that makes actionable insight discovery a breeze in comparison. We've been using this feature since an early beta and the GA team has done what they do best by creating a feature that is both easy to use and very powerful.]]></description>
		<wfw:commentRss>http://www.blastam.com/blog/index.php/2011/10/ga-flow-visualization-use-cases/feed/</wfw:commentRss>
		<slash:comments>8</slash:comments>
		</item>
		<item>
		<title>Unsampled Reports &#8211; Google Analytics Premium Feature Tour #2</title>
		<link>http://www.blastam.com/blog/index.php/2011/10/google-analytics-premium-unsampled-reports/</link>
		<comments>http://www.blastam.com/blog/index.php/2011/10/google-analytics-premium-unsampled-reports/#comments</comments>
		<pubDate>Thu, 06 Oct 2011 15:24:04 +0000</pubDate>
		<dc:creator>Joe</dc:creator>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Google Analytics]]></category>
		<category><![CDATA[fast access mode]]></category>
		<category><![CDATA[google analytics premium]]></category>
		<category><![CDATA[unsampled reports]]></category>

		<guid isPermaLink="false">http://www.blastam.com/blog/?p=2055</guid>
		<description><![CDATA[One of Google Analytics Premium's most exciting features is the availability of unsampled reports.

Many of you are likely familiar with the following message in the GA interface: "This report is generated in fast-access mode."  This means that Google Analytics had to sample the data in order to return the results to you in a timely manner.  In Google Analytics Premium however, you can download an unsampled report to receive fully unsampled data for your query.  The result: increased confidence in your data analysis.]]></description>
		<wfw:commentRss>http://www.blastam.com/blog/index.php/2011/10/google-analytics-premium-unsampled-reports/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
		</item>
		<item>
		<title>Google Analytics Premium Feature Tour: 50 Custom Variables</title>
		<link>http://www.blastam.com/blog/index.php/2011/10/google-analytics-premium-50-custom-variables/</link>
		<comments>http://www.blastam.com/blog/index.php/2011/10/google-analytics-premium-50-custom-variables/#comments</comments>
		<pubDate>Tue, 04 Oct 2011 17:17:10 +0000</pubDate>
		<dc:creator>Joe</dc:creator>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Google Analytics]]></category>
		<category><![CDATA[custom variables]]></category>
		<category><![CDATA[google analytics premium]]></category>

		<guid isPermaLink="false">http://www.blastam.com/blog/?p=2072</guid>
		<description><![CDATA[In Google Analytics Premium, the number of custom variables that are available has been dramatically increased from 5 (in Google Analytics Standard) to 50!  We've helped many clients using custom variables, to both increase the depth of data that can be collected and to enhance the capabilities of segmentation in GA.  On many sites, it is consistently a struggle to keep inside the 5 custom variable limit.  The GA Premium 50 custom variable increase opens the door to richer data possibilities that will help you better target, optimize and convert your visitors.]]></description>
		<wfw:commentRss>http://www.blastam.com/blog/index.php/2011/10/google-analytics-premium-50-custom-variables/feed/</wfw:commentRss>
		<slash:comments>6</slash:comments>
		</item>
		<item>
		<title>How to Set a Client-Side Sample Rate in Google Analytics</title>
		<link>http://www.blastam.com/blog/index.php/2011/08/set-sample-rate-in-google-analytics/</link>
		<comments>http://www.blastam.com/blog/index.php/2011/08/set-sample-rate-in-google-analytics/#comments</comments>
		<pubDate>Thu, 18 Aug 2011 14:48:01 +0000</pubDate>
		<dc:creator>Joe</dc:creator>
				<category><![CDATA[Google Analytics]]></category>
		<category><![CDATA[sample rate]]></category>
		<category><![CDATA[terms of service]]></category>

		<guid isPermaLink="false">http://www.blastam.com/blog/?p=1950</guid>
		<description><![CDATA[Are you violating the Google Analytics Terms of Service?

If your website has more than 10 million hits per month then you are violating the Google Analytics Terms of Service. If you are substantially exceeding this traffic limit and desire to become compliant, then implementing the Google Analytics Sample Rate is a simple solution. 

Read this article to learn more about what is sample rate, why you would implement it and how you set a sample rate.]]></description>
		<wfw:commentRss>http://www.blastam.com/blog/index.php/2011/08/set-sample-rate-in-google-analytics/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
		</item>
		<item>
		<title>Are Rogue Sites Influencing Your Google Analytics Data?</title>
		<link>http://www.blastam.com/blog/index.php/2011/06/are-rogue-sites-influencing-your-google-analytics-data/</link>
		<comments>http://www.blastam.com/blog/index.php/2011/06/are-rogue-sites-influencing-your-google-analytics-data/#comments</comments>
		<pubDate>Mon, 27 Jun 2011 23:01:22 +0000</pubDate>
		<dc:creator>Joe</dc:creator>
				<category><![CDATA[Google Analytics]]></category>
		<category><![CDATA[Custom Reports]]></category>
		<category><![CDATA[Google Analytics Help]]></category>

		<guid isPermaLink="false">http://www.blastam.com/blog/?p=1806</guid>
		<description><![CDATA[Did you know that if someone puts your Google Analytics tracking code on their site (the same UA-#), visits to their site will show up in your Google Analytics profiles? It is true, but thankfully, there is a way to fix this issue. We won't get into why someone would do this, but it generally stems from someone lifting your design or embedding your content within their site — both nefarious. The people that do this are often unaware or too lazy to remove the tracking code. Through the use of a custom report, we'll show you how to identify external sites and URLs that contain your own site's tracking code and most importantly, how to filter these visits so that they do not impact your data analysis.]]></description>
		<wfw:commentRss>http://www.blastam.com/blog/index.php/2011/06/are-rogue-sites-influencing-your-google-analytics-data/feed/</wfw:commentRss>
		<slash:comments>4</slash:comments>
		</item>
		<item>
		<title>How to Track Downloads in Google Analytics</title>
		<link>http://www.blastam.com/blog/index.php/2011/04/how-to-track-downloads-in-google-analytics/</link>
		<comments>http://www.blastam.com/blog/index.php/2011/04/how-to-track-downloads-in-google-analytics/#comments</comments>
		<pubDate>Fri, 29 Apr 2011 07:22:44 +0000</pubDate>
		<dc:creator>Joe</dc:creator>
				<category><![CDATA[Google Analytics]]></category>

		<guid isPermaLink="false">http://www.blastam.com/blog/?p=1699</guid>
		<description><![CDATA[Google Analytics uses client-side code (JavaScript) to record pageviews and other interactions (which are then sent as a tracking pixel request to Google's servers).  This works great for html pages on your website (regardless of the programming language it was developed in) and it even works great for Flash, Silverlight, and other web technologies.  Out of the box, Google Analytics will not track how many times people download PDFs or other file types, simply because those files do not have the ability to request a tracking pixel.  In this blog post, we'll be covering the ways to properly track file downloads in Google Analytics.]]></description>
		<wfw:commentRss>http://www.blastam.com/blog/index.php/2011/04/how-to-track-downloads-in-google-analytics/feed/</wfw:commentRss>
		<slash:comments>53</slash:comments>
		</item>
		<item>
		<title>How to Use Filters In Google Analytics to Analyze Ecommerce Sites</title>
		<link>http://www.blastam.com/blog/index.php/2011/04/how-to-use-filters-to-analyze-ecommerce/</link>
		<comments>http://www.blastam.com/blog/index.php/2011/04/how-to-use-filters-to-analyze-ecommerce/#comments</comments>
		<pubDate>Wed, 27 Apr 2011 17:43:07 +0000</pubDate>
		<dc:creator>Joe</dc:creator>
				<category><![CDATA[Ecommerce]]></category>
		<category><![CDATA[Google Analytics]]></category>
		<category><![CDATA[Google Analytics Help]]></category>

		<guid isPermaLink="false">http://www.blastam.com/blog/?p=1662</guid>
		<description><![CDATA[When analyzing data on a site that has thousands of pages, it is often useful to group data by page type and measure the performance of those page types.  As an example, let's say that you have an ecommerce site.  A typical ecommerce site will have a home page, landing pages, regular content pages (you could segment these further), category pages, product pages, a cart page, a checkout page(s), and a receipt/confirmation page.  If you have several thousand product skus, analysis on the performance of all of your product pages (in aggregate) is sometimes not easily accomplished.  We will discuss two ways to easily accomplish this.]]></description>
		<wfw:commentRss>http://www.blastam.com/blog/index.php/2011/04/how-to-use-filters-to-analyze-ecommerce/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>Multi-Channel Funnels Provide Attribution Insight in Google Analytics</title>
		<link>http://www.blastam.com/blog/index.php/2011/04/multi-channel-funnels-google-analytics/</link>
		<comments>http://www.blastam.com/blog/index.php/2011/04/multi-channel-funnels-google-analytics/#comments</comments>
		<pubDate>Tue, 19 Apr 2011 22:51:10 +0000</pubDate>
		<dc:creator>Joe</dc:creator>
				<category><![CDATA[Google Analytics]]></category>

		<guid isPermaLink="false">http://www.blastam.com/blog/?p=1612</guid>
		<description><![CDATA[When a conversion takes place in Google Analytics, it is attributed (given credit) to the last session and source that brought the visitor to the site when that conversion took place.  The problem with this is that this is not how it works in the real world for most websites.  A visitor will take varying source paths across multiple visits before buying your product or filling out your lead form.  Google is testing a new feature called Multi-Channel Funnels (as a limited pilot to trusted testers such as ourselves) that aims to solve this problem.]]></description>
		<wfw:commentRss>http://www.blastam.com/blog/index.php/2011/04/multi-channel-funnels-google-analytics/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Google Analytics V5 Custom Reports: What&#8217;s New?</title>
		<link>http://www.blastam.com/blog/index.php/2011/04/google-analytics-v5-custom-reports/</link>
		<comments>http://www.blastam.com/blog/index.php/2011/04/google-analytics-v5-custom-reports/#comments</comments>
		<pubDate>Sun, 10 Apr 2011 21:16:21 +0000</pubDate>
		<dc:creator>Joe</dc:creator>
				<category><![CDATA[Google Analytics]]></category>
		<category><![CDATA[Custom Reports]]></category>

		<guid isPermaLink="false">http://www.blastam.com/blog/?p=1586</guid>
		<description><![CDATA[In the public beta release of Google Analytics v5, Google has dramatically increased the power of Custom Reports.  If you find yourself looking at multiple reports to draw insights or commonly filtering reports to get the right view of your data, then you'll want to use Custom Reports in Google Analytics.  The latest version of Google Analytics (v5) offers custom report filters, a new table type and more.]]></description>
		<wfw:commentRss>http://www.blastam.com/blog/index.php/2011/04/google-analytics-v5-custom-reports/feed/</wfw:commentRss>
		<slash:comments>11</slash:comments>
		</item>
		<item>
		<title>Google Analytics Version 5 Announced</title>
		<link>http://www.blastam.com/blog/index.php/2011/03/google-analytics-version-5-announced/</link>
		<comments>http://www.blastam.com/blog/index.php/2011/03/google-analytics-version-5-announced/#comments</comments>
		<pubDate>Mon, 21 Mar 2011 19:42:46 +0000</pubDate>
		<dc:creator>Joe</dc:creator>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Google Analytics]]></category>

		<guid isPermaLink="false">http://www.blastam.com/blog/?p=1546</guid>
		<description><![CDATA[Google Analytics Version 5 has been announced and it is full of exciting upgrades such as Navigation Changes, Events as Goals, Multiple Dashboards (and Widgets), Powerful Custom Reports, Term Cloud Visualization, Advanced Segment Changes and Interactive Help.]]></description>
		<wfw:commentRss>http://www.blastam.com/blog/index.php/2011/03/google-analytics-version-5-announced/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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